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Data visualization is associated with Business Intelligence and acts as the main base of data understanding for the decision making. The techniques and application used to apply the data visualization can be expensive or difficult to understand in accordance with the business targets. In this context, the present paper has the objective to demonstrate the possibility of applying an open source software (Python 3) for several types of data visualization. The method uses different data representation techniques, such as histograms, scatters, correlations, 3D surfaces, etc. Analyzed data refers to human resources evaluation, as the management can analyze and understand how data such as: satisfaction level of the employee, the average monthly hours worked, project number that the employee participated in, and time spent by company for employee care. The results delivered several types of representations that offer conclusions about the positioning of evaluated human resources in conjunction with other data.

The present paper main objective is to put forward two software application tools: Microsoft Project 2013 and Oracle Primavera P6 Professional, used for the management process planning, especially for industrial projects. Second goals is to compare some feature of the two software and emphasize some aspects used for an easier use. The presentation and comparison considered four small processes with a total of 38 activities. The two software are used for the leveling of seven labor resources defined for the achievement of the activities. The results of the analyzes point out that even the two tools have the same purpose, Microsoft Project can be used for general simple to average processes’ complexity and size, Oracle Primavera has more specialized possibilities (libraries and specific project plans) and more possibilities to model the actions needed for better leveling.

The present paper main objective is to reveals how one can use two software application tools: Microsoft Project 2013 and Oracle Primavera P6 Professional for the project planning management, especially for industrial projects and for the calculus and graphical representation of resources cumulative task. The present planning consider four small processes with a total of 38 activities and seven resources. The two software are used for leveling the project’s resources and for giving the necessary information about the evolutions of cumulative tasks and how its values influences the cost of project. In conclusions comparison between the values and graphical representation presented by the two software shows differences of exemplifications, most of them from the graphical point of view.